(self,x)
| 44 | self.mlp = torch.nn.Conv2d(c_in, c_out, kernel_size=(1, 1), padding=(0,0), stride=(1,1), bias=bias) |
| 45 | |
| 46 | def forward(self,x): |
| 47 | return self.mlp(x) |
| 48 | |
| 49 | |
| 50 | class prop(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected